A Note on Moral Hazard and Linear Compensation Schemes

dc.contributor.author

Wang, XY

dc.date.accessioned

2016-12-06T00:40:49Z

dc.date.issued

2013-07-18

dc.description.abstract

This note identifies a moral hazard environment in which a piecewise linear compensation scheme is optimal. Both the principal and the agent have CARA utility, mean output is increasing in the agent's non-contractible input, and output is distributed according to a Laplace distribution, which resembles a normal distribution (e.g. it is symmetric about the mean), but has fatter tails. The key property of the Laplace distribution is that the likelihood ratio is a piecewise constant, where the discontinuity occurs at the mean. The value of this approach is twofold: First, a tractable, empirically-observed wage scheme emerges as the equilibrium in a simple static contracting model. Second, the optimal piecewise linear scheme cleanly separates insurance and incentive provision. The linearity at output levels away from the mean captures insurance, while the jump at the mean captures incentive provision. Hence, this model is well-suited for studying a wide variety of principal-agent problems in risky environments subject to moral hazard, such as the effect of risk and moral hazard considerations on employment relationships in developing economies.

dc.identifier.uri

https://hdl.handle.net/10161/13172

dc.relation.ispartof

Economic Research Initiatives at Duke (ERID) Working Paper

dc.subject

principal agent problems

dc.subject

moral hazard

dc.subject

linear incentive schemes

dc.subject

insurance

dc.subject

incentives

dc.title

A Note on Moral Hazard and Linear Compensation Schemes

dc.type

Journal article

pubs.issue

160

pubs.notes

Source info: Economic Research Initiatives at Duke (ERID) Working Paper No. 160

pubs.organisational-group

Duke

pubs.organisational-group

Economics

pubs.organisational-group

Trinity College of Arts & Sciences

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
SSRN-id2295751.pdf
Size:
336.44 KB
Format:
Adobe Portable Document Format